Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China
Ending hunger, achieving food security, and promoting sustainable agriculture are the main targets of sustainable development goals. It is well known that cropland resources are the most essential factor in achieving sustainable development goals. However, China has been facing the problem of a cont...
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MDPI AG
2022-06-01
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Series: | Agriculture |
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Online Access: | https://www.mdpi.com/2077-0472/12/7/901 |
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author | Ping Xue Xinru Han Yongchun Wang Xiudong Wang |
author_facet | Ping Xue Xinru Han Yongchun Wang Xiudong Wang |
author_sort | Ping Xue |
collection | DOAJ |
description | Ending hunger, achieving food security, and promoting sustainable agriculture are the main targets of sustainable development goals. It is well known that cropland resources are the most essential factor in achieving sustainable development goals. However, China has been facing the problem of a continuous reduction in cropland resources. Reducing the abandonment of cropland has become an important way to curb the reduction in cropland resources. Can agricultural machinery harvesting services reduce cropland abandonment in rural China? To answer this scientific question, this study employs the Survey for Agriculture and Village Economy data from 8345 samples of 12 provinces in rural China. The extended regression models (i.e., the extended probit regression model and the extended interval regression model) are used to empirically analyze the relationship between agricultural machinery harvesting services accessed by farmers and cropland abandonment. The results are as follows. Agricultural machinery harvesting services accessed by farmers significantly reduced the probability of cropland abandonment and the proportion of the area of abandoned cropland in farmers’ contracted cropland area decreased by 18.5% and 20.3%, respectively. Moreover, the heterogeneity analysis results showed that farmers’ access to agricultural machinery harvesting services significantly reduced cropland abandonment in small-scale groups, without elderly households, with nonagricultural income groups, and in the eastern region. This study also provides some policy implications for policymakers to reduce cropland abandonment in rural China. |
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id | doaj.art-c09f5a878caf468fad04b100a0c2cc74 |
institution | Directory Open Access Journal |
issn | 2077-0472 |
language | English |
last_indexed | 2024-03-09T12:25:10Z |
publishDate | 2022-06-01 |
publisher | MDPI AG |
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series | Agriculture |
spelling | doaj.art-c09f5a878caf468fad04b100a0c2cc742023-11-30T22:36:39ZengMDPI AGAgriculture2077-04722022-06-0112790110.3390/agriculture12070901Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural ChinaPing Xue0Xinru Han1Yongchun Wang2Xiudong Wang3Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaEnding hunger, achieving food security, and promoting sustainable agriculture are the main targets of sustainable development goals. It is well known that cropland resources are the most essential factor in achieving sustainable development goals. However, China has been facing the problem of a continuous reduction in cropland resources. Reducing the abandonment of cropland has become an important way to curb the reduction in cropland resources. Can agricultural machinery harvesting services reduce cropland abandonment in rural China? To answer this scientific question, this study employs the Survey for Agriculture and Village Economy data from 8345 samples of 12 provinces in rural China. The extended regression models (i.e., the extended probit regression model and the extended interval regression model) are used to empirically analyze the relationship between agricultural machinery harvesting services accessed by farmers and cropland abandonment. The results are as follows. Agricultural machinery harvesting services accessed by farmers significantly reduced the probability of cropland abandonment and the proportion of the area of abandoned cropland in farmers’ contracted cropland area decreased by 18.5% and 20.3%, respectively. Moreover, the heterogeneity analysis results showed that farmers’ access to agricultural machinery harvesting services significantly reduced cropland abandonment in small-scale groups, without elderly households, with nonagricultural income groups, and in the eastern region. This study also provides some policy implications for policymakers to reduce cropland abandonment in rural China.https://www.mdpi.com/2077-0472/12/7/901cropland abandonmentagricultural machinery harvesting servicesextended regression modelsrural China |
spellingShingle | Ping Xue Xinru Han Yongchun Wang Xiudong Wang Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China Agriculture cropland abandonment agricultural machinery harvesting services extended regression models rural China |
title | Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China |
title_full | Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China |
title_fullStr | Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China |
title_full_unstemmed | Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China |
title_short | Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China |
title_sort | can agricultural machinery harvesting services reduce cropland abandonment evidence from rural china |
topic | cropland abandonment agricultural machinery harvesting services extended regression models rural China |
url | https://www.mdpi.com/2077-0472/12/7/901 |
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